Data science, Network and International Trade

Ects : 3

Enseignant responsable :

  • FARID TOUBAL

Volume horaire : 27

Description du contenu de l'enseignement :

This lecture start with the visualization of the World Trade Network, and describe the topology of the trade network. The aim is to apply techniques used in network statistics to large scale international trade data.

Pré-requis recommandés :

International Trade, Microeconomics, Statistics, Econometrics.

Pré-requis obligatoires :

International Trade, Microeconomics, Statistics.

Coefficient : 3

Compétence à acquérir :

  • Explores the World Trade using the Network Analysis.
  • Introduces student to various techniques used to visualize, calculate and synthetically represent network trade data.
  • Describe topological properties used in Network’s statistics

Mode de contrôle des connaissances :

Homework and Presentation in class

Bibliographie, lectures recommandées

  • De Benedictis, L., Nenci, S., Santoni, G., Tajoli, L. and Vicarelli, C., 2014. Network analysis of world trade using the BACI-CEPII dataset. Global Economy Journal, 14(3-4), p.287-343.
  • Jackson, M.O., 2010. Social and economic networks. Princeton university press.
  • Newman, M., 2018. Networks. Oxford university press.